Data Scientist – MLOps
Company Name:-
Yash Technologies
Job Location:-
Indore, Madhya Pradesh
Job Summary:-
We are looking forward to hire “Data Scientist – MLOps” who thrives on challenges and desires to make a real difference in the business world.
With an environment of extraordinary innovation and unprecedented growth, this is an exciting opportunity for a self-starter who enjoys working in a fast-paced, quality-oriented, and team environment.
What you should have:
Minimum 3-5 years of experience in Data Science.
Partnered with the Business and Technical Groups to understand the questions they are trying to address, to unlock value, and the data they have or need to collect to address the question.
Experience in Engaging regularly to refine opportunities and develop a pathway for value-generating data projects in the appropriate Business Units.
Provide specialist advice and act as the first point of contact for data science queries.
Assist in designing data capture / experimental setups for exploratory work, or changes in process/data capture in existing systems.
Work with the Data Scientist to develop statistical models, algorithms, and/or machine learning algorithms to analyze data and address a particular business question.
Assist and supervise Data Engineers in developing and deploying production workflows for taking data in real-time or periodically from business functions, passing the data through the developed models, and producing the relevant reporting without human intervention.
Support reporting from analytics tools and developed models.
Support in architecting data warehouse and data lake.
Work with the Data Scientist to design and implement training and deployment approaches for data science and machine learning model components.
Develop and deliver a CI/CD pipeline + monitoring for the deployed models.
Perform solution research and rapid iterations of development to refine posed problems and identify potential solutions.
What you will do?
Develop a state-of-the-art data science and ML runtime stack in a multi-cloud environment.
Partner with leaders in the area and have insights to select off-the-shelf components vs building from the scratch.
Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users.
Be hands-on where required and lead from the f
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